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Matthew Peca Elite Prospects ↗

Position: Forward DOB: 1993-04-27 Country: Canada
2011 · Round 7, Pick #201  ·  Tampa Bay Lightning Tampa Bay Lightning
No commitment set

Set Commitment

NCAA Division I

NCAA D3 / D2

Career Trajectory
Dashed = raw PPG  ·  ■ Solid blue = age-adjusted NCAAe-PPG  ·  ■ Green = actual college PPG
Junior Seasons
Season Team League GP G A Pts PPG NCAAe-PPG Age-Adj D3e-PPG Age-Adj
2009-10 Pembroke Lumber Kings CCHL 60 21 26 47 0.783 0.1699 0.1884 0.6060 0.6718
2010-11 Pembroke Lumber Kings CCHL 50 26 46 72 1.440 0.3123 0.3308 1.1141 1.1801
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow
College Seasons (Historical)
Season School Div Conference Year GP G A Pts PPG
2014-15 Quinnipiac D1 ECAC SR 39 7 29 36 0.923
2013-14 Quinnipiac D1 ECAC JR 40 12 26 38 0.950
2012-13 Quinnipiac D1 ECAC SO 39 15 15 30 0.769
2011-12 Quinnipiac D1 ECAC FR 39 8 31 39 1.000
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.23
before college
→
Actual FR PPG
1.00
2011-12 · Quinnipiac
+326.6% vs. projection

NCAAe Rankings

#10682
Forward overall
#404
Forward born in 1993
#89
in CCHL

D1 Comparables

Frederik Tiffels
USHL · 2012-13 · 0.50 PPG
→ Western Michigan (0.66 D1 FR PPG)
0.31 Strong
NCAAe PPG
Mike Marnell
USHL · 2012-13 · 0.49 PPG
→ St. Lawrence (0.53 D1 FR PPG)
0.30 Average
NCAAe PPG
Luke Stork
USHL · 2012-13 · 0.47 PPG
→ Ohio State (0.33 D1 FR PPG)
0.29 Developing
NCAAe PPG
Scott Conway
NAHL · 2012-13 · 0.95 PPG
→ Penn State (0.76 D1 FR PPG)
0.38 Strong
NCAAe PPG
Patrick Polino
USHL · 2012-13 · 0.40 PPG
→ RPI (0.30 D1 FR PPG)
0.25 Developing
NCAAe PPG

D2/3 Comparables

Luke Moodie
SUNY Oswego · 2005-06
0.926 Strong
actual D2/3 PPG
Alexei Filimonov
Fitchburg State · 2021-22
1.560 Elite
actual D2/3 PPG
John Barrett
Wilkes · 2016-17
0.000 No data
actual D2/3 PPG

How to read this: NCAAe and D3e factors convert a player's junior PPG into expected NCAA scoring at the D1 or D3 level. Harder conferences → lower projected PPG for the same player. A strong junior player (e.g. USHL 0.90 PPG) will project much higher in NESCAC than Big Ten because the D3 scoring environment is lower-difficulty.

Strength factor: conferences above 1.0 are harder than average; below 1.0 are easier. The formula is: Base NCAAe PPG ÷ Conference Strength = Projected PPG.